Information‐theoretical complexity metrics

J Hale - Language and Linguistics Compass, 2016 - Wiley Online Library
Abstract Information‐theoretical complexity metrics are auxiliary hypotheses that link
theories of parsing and grammar to potentially observable measurements such as reading …

[HTML][HTML] Evaluating information-theoretic measures of word prediction in naturalistic sentence reading

C Aurnhammer, SL Frank - Neuropsychologia, 2019 - Elsevier
We review information-theoretic measures of cognitive load during sentence processing that
have been used to quantify word prediction effort. Two such measures, surprisal and next …

fMRI reveals language-specific predictive coding during naturalistic sentence comprehension

C Shain, IA Blank, M van Schijndel, W Schuler… - Neuropsychologia, 2020 - Elsevier
Much research in cognitive neuroscience supports prediction as a canonical computation of
cognition across domains. Is such predictive coding implemented by feedback from higher …

Language structure in the brain: A fixation-related fMRI study of syntactic surprisal in reading

JM Henderson, W Choi, MW Lowder, F Ferreira - NeuroImage, 2016 - Elsevier
How is syntactic analysis implemented by the human brain during language
comprehension? The current study combined methods from computational linguistics …

Word predictability and semantic similarity show distinct patterns of brain activity during language comprehension

SL Frank, RM Willems - Language, Cognition and Neuroscience, 2017 - Taylor & Francis
We investigate the effects of two types of relationship between the words of a sentence or
text–predictability and semantic similarity–by reanalysing electroencephalography (EEG) …

Looking for semantic similarity: what a vector-space model of semantics can tell us about attention in real-world scenes

TR Hayes, JM Henderson - Psychological Science, 2021 - journals.sagepub.com
The visual world contains more information than we can perceive and understand in any
given moment. Therefore, we must prioritize important scene regions for detailed analysis …

Incremental language comprehension difficulty predicts activity in the language network but not the multiple demand network

L Wehbe, IA Blank, C Shain, R Futrell, R Levy… - Cerebral …, 2021 - academic.oup.com
What role do domain-general executive functions play in human language comprehension?
To address this question, we examine the relationship between behavioral measures of …

Computational models to study language processing in the human brain: A survey

S Wang, J Sun, Y Zhang, N Lin, MF Moens… - arxiv preprint arxiv …, 2024 - arxiv.org
Despite differing from the human language processing mechanism in implementation and
algorithms, current language models demonstrate remarkable human-like or surpassing …

Is the brain mechanism for hierarchical structure building universal across languages? an fmri study of chinese and english

X Zhang, S Wang, N Lin, C Zong - Proceedings of the 2022 …, 2022 - aclanthology.org
Evidence from psycholinguistic studies suggests that the human brain builds a hierarchical
syntactic structure during language comprehension. However, it is still unknown whether the …

Connecting neural response measurements & computational models of language: a non-comprehensive guide

M Abdou - arxiv preprint arxiv:2203.05300, 2022 - arxiv.org
Understanding the neural basis of language comprehension in the brain has been a long-
standing goal of various scientific research programs. Recent advances in language …